{"schemaVersion":"jobsearcher.job.v1","id":"74e2bc65c47be14d6fb279ef","url":"https://jobsearcher.com/jobs/74e2bc65c47be14d6fb279ef","canonicalUrl":"https://jobsearcher.com/jobs/74e2bc65c47be14d6fb279ef","title":"Data Engineer - Geospatial","description":"Earth Finance is hiring an experienced Data Engineer to guide the development of the company's geospatial data pipelines for their flagship product, SpatiaFi. SpatiaFi is a cloud-based geospatial intelligence platform that integrates Earth data and changing planetary systems with economic and asset data to inform decision making. SpatiaFi is built on Google Cloud and has previously won the Google Cloud Sustainability Solution of the Year.\r\nThis is a full-time role. We prefer candidates based in Seattle, WA, but are open to a remote position for the right applicant.\r\nWhat you'll do: You will be responsible for growing and expanding SpatiaFi's foundational data pipelines and frameworks for ingestion, management, and delivery of high-impact geospatial data for a broad range of applications. We are looking for someone who can develop reliable cloud geospatial data infrastructure that scales sustainably with our company's growth.\r\nReporting to the Head of Spatial Finance, your responsibilities will include:\r\nMaintain data engineering best practices to enable solutions delivery for Earth Finance's customers\r\nEnd-to-end operations of the company's geospatial data, including:\r\nIngestion and documentation of new datasets\r\nQA/QC and metadata management of existing datasets\r\nResponsibility for integrity of delivered data\r\nDevelopment, documentation and hardening of internal data management and indexing systems\r\nDevelopment of automated data integrity tests and QC pipelines\r\nIn partnership with Earth Finance's science team, operationalize new data pipelines, introduce any additional or new beneficial tools, and promote efficient techniques\r\nSupport Earth Finance's business and sales teams to identify and deliver data needed to support new commercial opportunities\r\nPrepare documentation for both internal and external stakeholders\r\nRequired Skills & Experience Technical:\r\nAdvanced knowledge of cloud geospatial data engineering\r\nAdvanced knowledge of common geospatial data types: both raster (GeoTIFF/COG/ZARR/NetCDF/GRIB) and vector (GeoParquet/SHP/GeoJSON/others)\r\nDevelopment experience in Python – either a computer science or scientific computing background or demonstrated professional experience in team-oriented software development using GitHub or other source control systems\r\nExpertise with common geospatial and scientific Python libraries: GDAL, Rasterio, GeoPandas, NumPy, SciPy, and others\r\nDirect experience working with tabular data and building advanced SQL queries with Google BigQuery\r\nExperience or background in any of the following: Dask, ZARR, STAC, data visualization, remote sensing, meteorological data production\r\nExperience working with Google Cloud tools and infrastructure\r\nExperience with Docker or other containerization technologies\r\nFunctional\r\nSuccessful candidates will have 5+ years of experience as a senior or lead data engineer. Candidates with experience working in a start-up environment, familiarity with sustainability consulting, and demonstrated ability to provide technical leadership to a multidisciplinary team including remote-sensing scientists, financial analysts, and consulting practice teams preferred.\r\nSubject matter expertise in geospatial data sets and sources\r\nStrong attention to detail and ability to guide technology teams to generalize, future-proof and minimize technology debt\r\nAbility to read, understand and work with code written by others\r\nAbility to work in a structured environment with planned development cycles, while being agile to adapt to changing customer or project needs that arise\r\nBachelor's degree (or equivalent training and / or experience) is required.\r\nComfort with ambiguous, ever-changing situations and the nature of start-ups / young businesses\r\nCompetent and comfortable with the Microsoft Office Suite, Google products, Salesforce, AI tools, and data visualization tools\r\nWhy you should join us: Earth Finance is a dedicated team of strategists, investors, policy makers, technology developers, scientists, and subject matter experts who are committed to accelerating the global economic transition to a sustainable future. We believe climate and sustainability progress is realized when market and policy forces align. We partner with companies to reinvent the extractive business models of today, investors to deploy innovation capital at scale, governments to adopt common sense policies and incentives, community leaders to implement inclusive and equitable solutions, and the scientific community to ground our client recommendations in the natural world. We are committed to radically accelerating financially successful climate action.\r\nCompensation and Benefits: Salary range for this role is $150,000 – $175,000. Title and salary offered will be commensurate with your experience.\r\nMedical, dental, and vision insurance. We cover 100% of your premiums and 25% of the premiums for your dependents.\r\nCompany funded life and disability insurance.\r\nPaid vacation and 12 company holidays.\r\nA 401(k) plan – and if you set aside 5% of your paycheck, we'll provide a 4% match.\r\nA super fun, passionate, dedicated team of colleagues committed to creating a sustainable, and financially sound, future for organizations, people, and the planet.\r\nEarth Finance\r\nAccelerating the global economic transition to a sustainable future.\r\nJ-18808-Ljbffr","company":"Asystem","rawCompany":"asystem","city":"Seattle","state":"WA","isRemote":false,"isActive":false,"createdAt":"2026-04-09T15:27:42.605Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1299.02","title":"Geographic Information Systems Technologists and Technicians","slug":"geographic-information-systems-technologists-and-technicians"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Engineer - Geospatial","description":"Earth Finance is hiring an experienced Data Engineer to guide the development of the company's geospatial data pipelines for their flagship product, SpatiaFi. SpatiaFi is a cloud-based geospatial intelligence platform that integrates Earth data and changing planetary systems with economic and asset data to inform decision making. SpatiaFi is built on Google Cloud and has previously won the Google Cloud Sustainability Solution of the Year.\r\nThis is a full-time role. We prefer candidates based in Seattle, WA, but are open to a remote position for the right applicant.\r\nWhat you'll do: You will be responsible for growing and expanding SpatiaFi's foundational data pipelines and frameworks for ingestion, management, and delivery of high-impact geospatial data for a broad range of applications. We are looking for someone who can develop reliable cloud geospatial data infrastructure that scales sustainably with our company's growth.\r\nReporting to the Head of Spatial Finance, your responsibilities will include:\r\nMaintain data engineering best practices to enable solutions delivery for Earth Finance's customers\r\nEnd-to-end operations of the company's geospatial data, including:\r\nIngestion and documentation of new datasets\r\nQA/QC and metadata management of existing datasets\r\nResponsibility for integrity of delivered data\r\nDevelopment, documentation and hardening of internal data management and indexing systems\r\nDevelopment of automated data integrity tests and QC pipelines\r\nIn partnership with Earth Finance's science team, operationalize new data pipelines, introduce any additional or new beneficial tools, and promote efficient techniques\r\nSupport Earth Finance's business and sales teams to identify and deliver data needed to support new commercial opportunities\r\nPrepare documentation for both internal and external stakeholders\r\nRequired Skills & Experience Technical:\r\nAdvanced knowledge of cloud geospatial data engineering\r\nAdvanced knowledge of common geospatial data types: both raster (GeoTIFF/COG/ZARR/NetCDF/GRIB) and vector (GeoParquet/SHP/GeoJSON/others)\r\nDevelopment experience in Python – either a computer science or scientific computing background or demonstrated professional experience in team-oriented software development using GitHub or other source control systems\r\nExpertise with common geospatial and scientific Python libraries: GDAL, Rasterio, GeoPandas, NumPy, SciPy, and others\r\nDirect experience working with tabular data and building advanced SQL queries with Google BigQuery\r\nExperience or background in any of the following: Dask, ZARR, STAC, data visualization, remote sensing, meteorological data production\r\nExperience working with Google Cloud tools and infrastructure\r\nExperience with Docker or other containerization technologies\r\nFunctional\r\nSuccessful candidates will have 5+ years of experience as a senior or lead data engineer. Candidates with experience working in a start-up environment, familiarity with sustainability consulting, and demonstrated ability to provide technical leadership to a multidisciplinary team including remote-sensing scientists, financial analysts, and consulting practice teams preferred.\r\nSubject matter expertise in geospatial data sets and sources\r\nStrong attention to detail and ability to guide technology teams to generalize, future-proof and minimize technology debt\r\nAbility to read, understand and work with code written by others\r\nAbility to work in a structured environment with planned development cycles, while being agile to adapt to changing customer or project needs that arise\r\nBachelor's degree (or equivalent training and / or experience) is required.\r\nComfort with ambiguous, ever-changing situations and the nature of start-ups / young businesses\r\nCompetent and comfortable with the Microsoft Office Suite, Google products, Salesforce, AI tools, and data visualization tools\r\nWhy you should join us: Earth Finance is a dedicated team of strategists, investors, policy makers, technology developers, scientists, and subject matter experts who are committed to accelerating the global economic transition to a sustainable future. We believe climate and sustainability progress is realized when market and policy forces align. We partner with companies to reinvent the extractive business models of today, investors to deploy innovation capital at scale, governments to adopt common sense policies and incentives, community leaders to implement inclusive and equitable solutions, and the scientific community to ground our client recommendations in the natural world. We are committed to radically accelerating financially successful climate action.\r\nCompensation and Benefits: Salary range for this role is $150,000 – $175,000. Title and salary offered will be commensurate with your experience.\r\nMedical, dental, and vision insurance. We cover 100% of your premiums and 25% of the premiums for your dependents.\r\nCompany funded life and disability insurance.\r\nPaid vacation and 12 company holidays.\r\nA 401(k) plan – and if you set aside 5% of your paycheck, we'll provide a 4% match.\r\nA super fun, passionate, dedicated team of colleagues committed to creating a sustainable, and financially sound, future for organizations, people, and the planet.\r\nEarth Finance\r\nAccelerating the global economic transition to a sustainable future.\r\nJ-18808-Ljbffr","datePosted":"2026-04-09T15:27:42.605Z","dateModified":"2026-04-09T15:27:42.605Z","hiringOrganization":{"@type":"Organization","name":"Asystem","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Seattle","addressRegion":"WA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"74e2bc65c47be14d6fb279ef"},"url":"https://jobsearcher.com/jobs/74e2bc65c47be14d6fb279ef"}}